We are seeking a Data & AI Engineer to design, build, and optimize our end-to-end data infrastructure. The successful candidate will act as the architect of our investment technology stack, bridging data engineering, business intelligence, and artificial intelligence. The ideal candidate will have proven experience as a Data Engineer or similar role in a fast-paced environment.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About the job
Data & AI Engineer – Investment Technology
India (Remote) | Full-Time | Permanent | Venture Capital / Investment Tech
Placed by Hotsourced – connecting top South African talent with world-class global companies
Our client is an innovative investment firm building a next-generation technology stack to power smarter venture capital decisions. By combining advanced data engineering, AI, and automation, they transform fragmented market signals into high-quality investment insights that help identify tomorrow’s unicorns.
This is a unique opportunity to join at an early stage and architect a proprietary “VC Operating System.” You’ll work at the intersection of data, AI, and investment strategy—designing scalable systems that directly influence how capital is deployed. If you thrive in fast-paced environments and enjoy building end-to-end data solutions, this role offers both ownership and impact.
Company Overview / About Us
Our client is a forward-thinking investment organization leveraging cutting-edge technology to modernize the venture capital lifecycle. Their platform integrates data ingestion, intelligent automation, and AI-powered insights to streamline sourcing, due diligence, and portfolio management.
With a strong focus on innovation, they aim to replace manual, fragmented workflows with a unified, intelligent system that empowers investment teams to make faster, data-driven decisions.
Job Summary / Role Overview
As a Data & AI Engineer, you will be responsible for designing, building, and optimizing the firm’s end-to-end data infrastructure. This includes orchestrating data pipelines, developing event-driven systems, and implementing AI-powered workflows.
You will act as the architect of the investment technology stack—bridging data engineering, business intelligence, and artificial intelligence to deliver actionable insights and automation across the investment lifecycle.
Key Responsibilities
- Design, deploy, and monitor complex workflows using Apache Airflow (Cloud Composer) to ensure reliability and scalability of data pipelines
- Develop and maintain event-driven systems using Google Cloud Functions to process real-time triggers and workflows
- Build and optimize scalable ETL/ELT pipelines using Python and BigQuery to ingest and transform multi-source datasets
- Create AI-driven workflows using Google AI Studio (Gemini) and n8n to automate processes such as investment memo generation and startup classification
- Design and maintain executive dashboards using Tableau and Airtable for deal flow tracking and portfolio insights
- Manage and optimize Airtable as a centralized “source of truth” across CRM and data systems
- Integrate third-party data sources and APIs (e.g., Crunchbase, LinkedIn, GitHub, PitchBook) into the data ecosystem
- Ensure data quality, governance, and performance across all systems
- Collaborate with investment teams to translate business needs into scalable technical solutions
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Required Qualifications / What We're Looking For
- Proven experience as a Data Engineer or similar role in a fast-paced environment
- Hands-on expertise with Apache Airflow for workflow orchestration
- Strong experience building and deploying Google Cloud Functions using Python
- Advanced knowledge of Google Cloud Platform (GCP) and BigQuery
- Proficiency in Python for data processing, automation, and API integrations
- Experience with Airtable (including automations and scripting) and n8n for workflow orchestration
- Strong skills in building dashboards and reports using Tableau
- Experience implementing AI/ML solutions using Google AI Studio or Vertex AI (e.g., RAG, prompt engineering, agentic workflows)
- Excellent problem-solving skills and ability to work independently in a remote setup
- Strong communication skills and ability to collaborate with cross-functional teams
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Preferred Skills / Nice to Have
- Understanding of venture capital lifecycle (sourcing, due diligence, investment committee, portfolio management)
- Familiarity with financial concepts such as IRR, MOIC, and cap tables
- Experience with web scraping and data enrichment tools (e.g., PeopleDataLabs, Clearbit)
- Exposure to microservices architecture and event-driven systems
- Experience working in startups or high-growth environments
Work Schedule
- Monday to Friday
- 08:00 AM – 05:00 PM GMT
- 01:30 PM – 10:30 PM IST
Benefits / What We Offer
- Annual Compensation : 12 LPA INR - 18 LPA INR
- Fully remote work environment with flexible collaboration
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